Data Engineer at GVA Partners

 Responsibilities:

• Extending company’s data with third party sources of information when needed 

• Processing, cleansing, and verifying the integrity of data used for analysis 

• Develop, construct, test and maintain architectures (such as database and large-scale processing systems)  

• Ensure architecture will support the requirements of the business  

• Discover opportunities for data acquisition

Keys Qualifications and Skills: 

• Strong STEM background - Bachelor's degree as well as practical experiences in Machine Learning, NLP, Deep Learning (Tensor flow), Statistical Modeling, Quantitative Analysis, Forecasting, Data Visualization 

• 2-6 years working experience as a data engineer or business data analyst, preferably in the financial services industry

• Technical expertise regarding data models, database design development, data mining and segmentation techniques  

• Knowledge of statistics and experience using statistical packages 

• Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy 

• Good knowledge of infrastructure and capacity sizing  

• Technical expertise around design and flow of data from system to system without loss  

• Use of ETL tool like SSIS, ODI etc  

• Design of master data and data lake

• Proficient in office automation tools (e.g. Microsoft Office, etc)  

• Proficient in SQL